BDV Skills Accreditation - Big Data skilling in Emilia-Romagna
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The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
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Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.Key Modules for a trsuted and privacy preserving personal data marketplace
Key Modules for a trsuted and privacy preserving personal data marketplaceBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Three pillars for building a Smart Data Ecosystem: Trust, Security and Privacy
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Market into context - Three pillars for building a Smart Data Ecosystem: Trus...
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
Recommended
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.Key Modules for a trsuted and privacy preserving personal data marketplace
Key Modules for a trsuted and privacy preserving personal data marketplaceBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Three pillars for building a Smart Data Ecosystem: Trust, Security and Privacy
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).Market into context - Three pillars for building a Smart Data Ecosystem: Trus...
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...
BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.BDV Skills Accreditation - Definition and ensuring of digital roles and compe...
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The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector Webinar
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One of the main goals of the I-BiDaaS project is to provide a Big Data as a self-service solution that will empower the actual employees of European companies in targeted sectors (banking, manufacturing, telecom), i.e., the true decision-makers, with the insights and tools they need in order to make the right decisions in an agile way. In this big data pilot webinar, we will demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the banking sector. In more detail, we will present an overview of the I-BiDaaS project focusing on the requirements of the CaixaBank pilot study, the I-BiDaaS architecture with its core technologies, and a step by step demo of the I-BiDaaS solution. Last but not least, we will show through CaixaBank's success story how I-BiDaaS can resolve data availability, data sharing, and breaking silos challenges in the banking domain.BigDataPilotDemoDays - I-BiDaaS Application to the Financial Sector Webinar
BigDataPilotDemoDays - I-BiDaaS Application to the Financial Sector WebinarBig Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.Virtual BenchLearning - DeepHealth - Needs & Requirements for Benchmarking
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The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...
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The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.Policy Cloud Data Driven Policies against Radicalisation - Technical Overview
Policy Cloud Data Driven Policies against Radicalisation - Technical OverviewBig Data Value Association
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...
Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...Big Data Value Association
Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).BDVA i Spaces - What they are, how to become one, value and collaborations
BDVA i Spaces - What they are, how to become one, value and collaborationsBig Data Value Association
This webinar is part of the activities included in the BDV Best Success Story contest, aimed at BDV PPP projects and BDVA SMEs to tell their achievements and experiences in the most entertaining, fun and constructive way.BDV Best Success Story - tips and good practices for a successful live presen...
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The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.Virtual BenchLearning - DeepHealth - Needs & Requirements for Benchmarking
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The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...
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- 2. Davide Barbieri 2020 Big Data Lab 2
- 3. Big and open Davide Barbieri 2020 Big Data Lab 3
- 4. Big data Lab Davide Barbieri 2020 Big Data Lab 4
- 5. Partners Davide Barbieri 2020 Big Data Lab 5
- 6. Davide Barbieri 2020 Big Data Lab 6
- 7. Skills Davide Barbieri 2020 Big Data Lab 7 Machine learning Data bases data warehouses Statistics
- 8. Trade-off Davide Barbieri 2020 Big Data Lab 8
- 9. Certification Davide Barbieri 2020 Big Data Lab 9
- 10. Setting goals? Davide Barbieri 2020 Big Data Lab 10 goals guidelines standards evaluation